Administration of the MapR-DB is done primarily via the commmand line (maprcli) or with the MapR Control System (MCS).
Regardless of whether the MapR-DB table is used for binary files or JSON documents, the same types of commands are used
with slightly different parameter options. MapR-DB administration is associated with tables, columns and column families,
and table regions.

Scheduling Queues

The scheduler organizes
applications further into queues, and shares resources
fairly between these queues. By default, all users share a single
queue, named default. If an application specifically
lists a queue in a container resource request, the request is
submitted to that queue. You can also assign queues based on the
user name included with the request through configuration. Within
each queue, a scheduling policy is used to share resources between
the running applications. The default is memory-based fair sharing,
but FIFO and multi-resource with Dominant Resource Fairness can
also be configured.

Queues can be arranged in a
hierarchy to divide resources, and they can be configured with
weights to share the cluster in specific proportions. The Fair
Scheduler uses a concept called a queue path to configure
a hierarchy of queues. The queue path is the full path of the
queue's hierarchy, starting at root. The following example
has three top-level child-queues a, b, and c and some sub-queues
for a and b:

In addition to providing fair
sharing, the Fair Scheduler allows assigning guaranteed minimum
shares to queues, which is useful for ensuring that certain users,
groups or production applications always get sufficient resources.
When a queue contains apps, it gets at least its minimum share, but
when the queue does not need its full guaranteed share, the excess
is split between other running apps. This lets the scheduler
guarantee capacity for queues while utilizing resources efficiently
when these queues do not contain applications.